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- Tasks: Lead a team to design and deliver innovative NLP data solutions.
- Company: Join GSK's Onyx Research Data Tech, transforming medical discovery with data.
- Benefits: Enjoy flexible work options, competitive pay, and opportunities for growth.
- Why this job: Make a real impact in healthcare by empowering scientists with data-driven insights.
- Qualifications: Experience in data engineering and leadership; passion for AI/ML is a plus.
- Other info: Be part of a dynamic, full-stack team focused on cutting-edge technology.
The predicted salary is between 43200 - 72000 £ per year.
Job Description The Onyx Research Data Tech organization is GSK’s Research data ecosystem which has the capability to bring together, analyze, and power the exploration of data at scale. We partner with scientists across GSK to define and understand their challenges and develop tailored solutions that meet their needs. The goal is to ensure scientists have the right data and insights when they need it to give them a better starting point for and accelerate medical discovery. Ultimately, this helps us get ahead of disease in more predictive and powerful ways. Onyx is a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation, metadata- and automation-driven data experience for GSK’s scientists, engineers, and decision-makers, increasing productivity and reducing time spent on “data mechanics” Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time Data Engineering is responsible for the design, delivery, support, and maintenance of indu…
Staff NLP Data Engineer and Team Lead employer: Gsk
Contact Detail:
Gsk Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff NLP Data Engineer and Team Lead
✨Tip Number 1
Familiarize yourself with the latest trends and technologies in NLP and data engineering. Being well-versed in tools like TensorFlow, PyTorch, or Apache Spark can set you apart from other candidates.
✨Tip Number 2
Showcase your leadership skills by discussing any previous experience where you led a team or project. Highlight how you motivated your team and achieved results, as this role emphasizes team leadership.
✨Tip Number 3
Network with professionals in the field of data science and engineering. Attend relevant conferences or webinars to connect with potential colleagues at GSK and gain insights into their work culture.
✨Tip Number 4
Prepare to discuss real-world applications of your work in NLP and data engineering. Be ready to share specific examples of how your contributions have led to improved outcomes in previous roles.
We think you need these skills to ace Staff NLP Data Engineer and Team Lead
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Staff NLP Data Engineer and Team Lead position. Understand the key responsibilities and required skills, especially in data engineering, AI/ML, and team leadership.
Tailor Your CV: Customize your CV to highlight relevant experience in data engineering and leadership roles. Emphasize any projects or achievements that align with GSK's goals of enhancing data analysis and predictive capabilities.
Craft a Compelling Cover Letter: Write a cover letter that connects your background and skills to the specific challenges faced by GSK. Mention your passion for medical discovery and how your expertise can contribute to building a next-generation data experience.
Highlight Collaboration Skills: Since the role involves partnering with scientists, emphasize your ability to work collaboratively across teams. Provide examples of past experiences where you successfully collaborated to solve complex problems.
How to prepare for a job interview at Gsk
✨Understand the Role
Make sure you have a clear understanding of what a Staff NLP Data Engineer and Team Lead does. Familiarize yourself with the responsibilities mentioned in the job description, especially around data engineering, AI/ML, and collaboration with scientists.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data engineering, NLP, and any relevant technologies. Highlight specific projects where you've successfully implemented solutions that align with the goals of the Onyx Research Data Tech organization.
✨Demonstrate Leadership Experience
As a team lead, it's crucial to showcase your leadership skills. Prepare examples of how you've led teams, mentored colleagues, or driven projects to success. Emphasize your ability to foster collaboration and innovation.
✨Align with GSK's Mission
Research GSK's mission and values, particularly their focus on accelerating medical discovery. Be ready to discuss how your work can contribute to this mission and how you can help scientists access the right data and insights.
